Automatic detection of craters in planetary images: An embedded framework using feature selection and boosting

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2010, Pages 749-758

  Ding, Wei ^a   Stepinski, Tomasz F ^b   Bandeira, Lourenco ^c   Vilalta, Ricardo ^d   Wu, Youxi ^e   Lu, Zhenyu ^e   Cao, Tianyu ^e  

^a UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

^b LUNAR AND PLANETARY INSTITUTE   (United States)

^c INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^d UNIVERSITY OF HOUSTON   (United States)

^e UNIVERSITY OF VERMONT   (United States)

Author keywords

Classification; Feature selection; Planetary and space science; Spatial data mining; Transfer learning

Indexed keywords

CLASSIFICATION; FEATURE SELECTION; SPACE SCIENCE; SPATIAL DATA MINING; TRANSFER LEARNING;

ASTRONOMY; CLASSIFICATION (OF INFORMATION); DATA MINING; DETECTORS; KNOWLEDGE MANAGEMENT; LEARNING ALGORITHMS; MATHEMATICAL MORPHOLOGY; MORPHOLOGY; OPTICAL VARIABLES MEASUREMENT;

FEATURE EXTRACTION;

EID: 78651290320     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871534     Document Type: Conference Paper

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